PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-06 10:19:24.015432+00:00 (UTC)
In US/Central Time, this is 2024-03-06 04:19:24.015432-06:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/dfb1fc739508441f9fcf43e148d60d834e2904ed6bbcb4fa980ba346bde071fe.png
We are just generating a random time serie here.
../_images/4d5c520383146dc63b991a166dc1315b5d622a9cea633842c5e94dc01b99cff9.png
../_images/373c08e946ea18d0bf7f43fdc3628419d0f473308b533406400c10a65372cea9.png